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Safe Guard: an LLM-agent for Real-time Voice-based Hate Speech Detection in Social Virtual Reality

arXiv 2409.15623 ↗First posted 23 Sep 2024eess.AS cs.AI cs.SDcited by 0

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Abstract (arXiv)

In this paper, we present Safe Guard, an LLM-agent for the detection of hate speech in voice-based interactions in social VR (VRChat). Our system leverages Open AI GPT and audio feature extraction for real-time voice interactions. We contribute a system design and evaluation of the system that demonstrates the capability of our approach in detecting hate speech, and reducing false positives compared to currently available approaches. Our results indicate the potential of LLM-based agents in creating safer virtual environments and set the groundwork for further advancements in LLM-driven moderation approaches.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 14 of its 53 references that are in the map. First posted on arXiv 23 Sep 2024.

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References · 14

  1. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
  2. 2021Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processingcited by 2,222
  3. 2017Automated Hate Speech Detection and the Problem of Offensive Languagecited by 724
  4. 2018Large Scale Crowdsourcing and Characterization of Twitter Abusive Behaviorcited by 265
  5. 2022Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderationcited by 66
  6. 2018All You Need is "Love": Evading Hate-speech Detectioncited by 56
  7. 2023"HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social mediacited by 45
  8. 2023HateMM: A Multi-Modal Dataset for Hate Video Classificationcited by 41
  9. 2020How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worldscited by 35
  10. 2024An Investigation of Large Language Models for Real-World Hate Speech Detectioncited by 20
  11. 2022Emotion Based Hate Speech Detection using Multimodal Learningcited by 18
  12. 2022A Trade-off-centered Framework of Content Moderationcited by 11
2 more
  1. 2021Moderation Challenges in Voice-based Online Communities on Discordcited by 4
  2. 2024Enabling Contextual Soft Moderation on Social Media through Contrastive Textual Deviationcited by 2

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  1. 2026HarassGuard: Detecting Harassment Behaviors in Social Virtual Reality with Vision-Language Models
  2. 2025Is GPT-4o mini Blinded by its Own Safety Filters? Exposing the Multimodal-to-Unimodal Bottleneck in Hate Speech Detection
  3. 2025WATCHED: A Web AI Agent Tool for Combating Hate Speech by Expanding Data
  4. 2025HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns
  5. 2026Improving Implicit Hate Speech Detection via a Community-Driven Multi-Agent Framework
  6. 2024Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models
  7. 2023Detecting and Correcting Hate Speech in Multimodal Memes with Large Visual Language Model
  8. 2026LLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning